Occupancy and occupant behaviour impacton indoor air temperature and energydemand via simulations
Başlık çevirisi mevcut değil.
- Tez No: 721450
- Danışmanlar: Belirtilmemiş.
- Tez Türü: Yüksek Lisans
- Konular: Enerji, Energy
- Anahtar Kelimeler: Occupant Behaviour, Building Simulation, IESVE, Air Temperature
- Yıl: 2015
- Dil: İngilizce
- Üniversite: University of London - University College London
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 86
Özet
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Özet (Çeviri)
New strategies and technologies need to be found in order to decrease energy demand and carbon emissions, which potentially lead to climate change. In order to reduce energy consumption, different strategies can be considered. One strategy is introducing new technologies or technical approaches in new or existing buildings in order to improve their energy efficiency; another is considering the role of the occupant, which is often overlooked by environmental designers, architects and engineers. In early design decisions such as conceptual design, environmental design and visual comfort, it is important to consider the occupants and their status, including social, economic, family and religious, to reflect their behaviour in the building thermal simulation process. During the early stages of designing a building, computer simulations are used to assess the impact of different design strategies on predicted energy use, which mostly rely on 'average' occupant details (such as occupancy times, and their regular activity and behaviour). The information given to the software (including environmental information such as external air temperature and relative humidity, building and construction information, mechanical system details (if any), occupant information, etc.) determines the reliability of the thermal simulation results concerning the energy consumption and carbon emissions of the building. One of the main challenges addressed in this paper is to understand how the user affects the thermal environment within the simulation process. For this reason, this paper considers 4 parameters in IES VE software to examine the occupants' impacts on indoor air temperature (within the thermal comfort range of 19-28) and energy demand. The results show that there is an 8.6% improvement in hours throughout the year spent in preferred indoor air temperature with the occupancy schedule, opening the window has 10.6 % improvement, climate can have up to 22.5% improvement (between Washington DC and Istanbul climates) and finally heating and cooling energy demand can be improved by 43.53% by occupancy, window profile and heating cooling set points.
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